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大论文Matching 3D face scans using interest points and local histogram descriptors.pdf

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Computers Graphics 37 (2013) 509–525 Contents lists available at SciVerse ScienceDirect Computers Graphics journal homepage: /locate/cag Special Section on 3D Object Retrieval Matching 3D face scans using interest points and local histogram descriptors $ Stefano Berretti a,n, Naoufel Werghi b, Alberto del Bimbo a, Pietro Pala a a Department of Information Engineering, University of Firenze, Italy b Khalifa University of Science Technology Research, Abu Dhabi, United Arab Emirates a r t i c l e i n f o a b s t r a c t Article history: In this work, we propose and experiment an original solution to 3D face recognition that supports face Received 30 October 2012 matching also in the case of probe scans with missing parts. In the proposed approach, distinguishing traits Received in revised form of the face are captured by ﬁrst extracting 3D keypoints of the scan and then measuring how the face 29 March 2013 surface changes in the keypoints neighborhood using local shape descriptors. In particular: 3D keypoints Accepted 1 April 2013 detection relies on the adaptation to the case of 3D faces of the meshDOG algorithm that has been Available online 1 May 2013 demonstrated to be effective for 3D keypoints extraction from generic objects; as 3D local descriptors we Keywords: used the HOG descriptor and also proposed two